Reputation: 3
I made a trial where I compare 2 different conditions for multiple treatments. However, on the plot, some of the value have two points where they should only be one.
here is the code I used for my plot
ggplot(Bites, aes(x=Treatment, y=Biting, colour=Condition, fill=Condition))+
geom_point(position=position_jitterdodge(dodge.width=0.7), size=2)+
geom_boxplot(alpha=0.5, position= position_dodge(width=0.8), fatten=NULL)+
stat_summary(fun.y= mean, geom="errorbar", aes(ymax=..y.., ymin=..y..),
width=0.65, size= 1.5, linetype= "solid", position = position_dodge(width=0.7))+
xlab("Treatment") +
ylab("Bites")+
labs(Color ="Condition")+
theme_classic()
Here are part of the data I used.
Biting Treatment Condition
1 0 A X
2 0 A X
3 0 A X
4 0 A X
5 0 A X
6 0 A X
7 0 A X
8 0 A X
9 1 A X
10 1 A X
11 1 A X
12 2 A X
13 4 A X
14 7 A X
15 9 A X
I should only get one point in the graph for 4 bites, 7 bites and 9 bites; yet I get 2 dots (one red and one paler).
How can I get rid of the paler dots ?
Upvotes: 0
Views: 1250
Reputation: 627
This duplicated dots are the outliers from geom_boxplot()
(notice, how they are always centered on boxplot)
Simply add outlier.shape = NA
inside geom_boxplot()
(as it was suggested under this question) and then they won't appear.
Data:
Bites <- data.frame(Biting = sample(c(rep(0, 7), rep(1, 3), 2, 4, 7, 9)),
Treatment = c(rep("A", 7), rep("B", 7)),
Condition = rep(c("X", "Y"), 7))
Upvotes: 3
Reputation: 1204
The lighter points are the outliers from the geom_boxplot call. Look up the option to suppress outliers on that call and you should be sweet.
ps - use dput() to share data frames in a stack overflow question to make it easy for others to assist.
Upvotes: 0